code: def __init__(self, data, seq_len):
      super().__init__()
      self.data = data
      self.seq_len = seq_len
  
file_path: mixture-of-attention/train.py
imports: import gzip
  import random
  import tqdm
  import numpy
  import torch
  from torch.optim import Adam
  from torch.nn import functional
  from torch.utils.data import DataLoader, Dataset
  from mixture_of_attention.transformer import Transformer
  from mixture_of_attention.autoregressive_wrapper import AutoregressiveWrapper
label_desc: Use image node_id 1 to create a new TextSamplerDataset object from inherited base classes: Dataset with example: obj = TextSamplerDataset(data, seq_len)